Technology Specialists Advanced analytics & AI

Are you passionate about helping customers transform their businesses? Microsoft is at the forefront of this transformation; come and help organizations rethink aspects of their business in a way that sets them and their people up for success. We enable customer transformation by leading the global sales strategy, enabling technical sales, driving sales motion innovation and revenue execution for the Data & AI Commercial Solution Area in  UAE.

The main goal of Microsoft Technology Specialists (TS) is to win the technical decision of customers to purchase and use Microsoft technology and cloud services, for databases, Analytics (including Azure Databricks and Microsoft Fabric), and ofcourse Azure AI Platform. The TS is expected to help the customers’ technical evaluators and decision makers to take the best decisions, as well as find new opportunities through their contacts and engagements for sales specialists to pursue. As a TS, you work within a virtual team of technical, partner and consulting resources to help educate your customers at a technical level, demonstrate, and prove our solutions, and win the technical decision, allowing the team to achieve/exceed quarterly sales targets in your accounts. Being part of this team will allow you to maintain and develop your deep technical expertise across Microsoft and non-Microsoft cloud-based technologies.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

Lead technical discussions with customers leveraging processes and tools, demos, and programs; using consultative sales methodology and technical expertise to understand the customer needs and demonstrate how Microsoft solutions can address them; establish rules of engagement (e.g., role boundaries, handoff strategies) for extended teams.

· Build technical strategy: map the agreed customer vision into a strategy, resolve concerns, prevent & remove technical blockers, validating a strong business case for investment and translated technology complexity into business impact. 

· Drive technical assessments to create a map of the current landscape and to build the technical migration & modernization plans, thus building a solid business case.

· Design the solution using your technical knowledge, architectural approach, consultancy skills and our methodology to win a customer’s technical decision and meet the customer’s needs. Ensure technical decision makers agree with proposed architecture. Drive POCs/pilots to create momentum for MVPs, infusing key AI technologies where appropriate and being technically proficient to conduct and complete a POC with hands-on-skills. Articulate the end-to-end architecture, including both Apps and Data services.

· Identify new opportunities within customer engagement.

· Be the Trusted advisor and use proactive effort to find and understand customers’ pain points, and design and offer solutions (with business case) to technical leaders.

· Be the Voice of Customer to share insights and best practices with Engineering, to remove key blockers and drive product improvements.

· Maintain and grow expertise in Data Modernization (Azure Cosmos DB and Open Source DB), Analytics & Data warehousing scenarios including Intelligent Data Platform (Azure SQL DW, Azure Data Lake, Azure Synapse Analytics/Azure Databricks, Power BI), and AI technologies (Azure OpenAI Services, Azure Cognitive Services, Azure Machine Learning) while keeping up to date with market trends and competitive insights; collaborate and share with the Data & AI technical community.

· Be an Azure platform evangelist for Analytics & Data Warehousing scenarios like modernizing your legacy Data Warehouse and migrating to the cloud, new Modern Data Warehousing deployments and end to end analytics solutions.

· Scale through partners, acting as liaison between the partner and account team and facilitating partner resources and processes; supporting partner technical capacity by identifying skill and resource gaps and providing feedback to internal teams.

· Develop customer technical skilling plan in collaboration with customer and account team.

Qualifications

Required/Minimum Qualifications:

10+ years of technical pre-sales or technical consulting experience

· OR Bachelor’s Degree in Computer Science, Information Technology, or related field AND 4+ years of technical pre-sales or technical consulting experience

· OR Master’s Degree in Computer Science, Information Technology, or related field AND 3+ years of technical pre-sales or technical consulting experience

· OR equivalent experience.

Additional or Preferred Qualifications:

· Competitive Landscape: Knowledge of Data and Analytics platforms such as Snowflake, MongoDB, MongoDB Atlas, Cassandra, Datastax, AWS Dynamo DB, Neo4J, StarDog, AWS (Redshift), GCP Big query, Teradata, Netezza, Exadata, Apache Spark, Tableau, Qlik, Looker, etc. including financial performance, key messaging, and roadmap.

· Partners: Experience leveraging partner solutions to solve customer needs and scale opportunities.

· Collaborative: Works cohesively with customers, the Microsoft account team, and Microsoft partners. Helps others succeed by identifying and promoting innovative solutions and strategies.

· Excellent Communicator: Demonstrates executive presence, presentation skills, deep technical product demo abilities, written and verbal communication skills.

· Deep domain knowledge in Analytics Platforms (Azure Fabric, Azure Data Explorer, Azure Databricks, azure ML), SQL and NoSQL DB (Azure SQL, Azure Cosmos DB, MongoDB ,  and Open Source DB OR hands-on experience working with the respective products at the expert level. 3+ years of hands-on programming experience (Scala, Python, SQL etc.)

· Deep domain hands on experience in GenAI landscape(Azure OpenAI, AWS Anthropic, and google Gemini).

· Relationship Building: Proven track record of building deep technical relationships with senior executives. Experience in managing various stakeholder relationships to get consensus on solution/projects. The ability to influence and build relationships across technical and business teams.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.